Efficient Content-based Image Retrieval using Support Vector Machines for Feature Aggregation. - Ivica Dimitrovski; Suzana Loskovska; Ivan Chorbev (SCSS, 2009)

ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (CLEF (2), 2009)

Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (CLEF (Notebook Papers/LABs/Workshops), 2010)

Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (ICPR Contests, 2010)

Modality Classification Using Texture Features. - Ivan Kitanovski; Katarina Trojacanec; Ivica Dimitrovski; Suzana Loskovska (ICT Innovations, 2011)

Hierarchical annotation of medical images. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Pattern Recognit., 2011)

FCSE at ImageCLEF 2012: Evaluating Techniques for Medical Image Retrieval. - Ivan Kitanovski; Ivica Dimitrovski; Suzana Loskovska (CLEF (Online Working Notes/Labs/Workshop), 2012)

Multimodal Medical Image Retrieval. - Ivan Kitanovski; Katarina Trojacanec; Ivica Dimitrovski; Suzana Loskovska (ICT Innovations, 2012)

Hierarchical classification of diatom images using ensembles of predictive clustering trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Ecol. Informatics, 2012)

FCSE at Medical Tasks of ImageCLEF 2013. - Ivan Kitanovski; Ivica Dimitrovski; Suzana Loskovska (CLEF (Working Notes), 2013)

Fast and Scalable Image Retrieval Using Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Discovery Science, 2013)

Merging words and concepts for medical articles retrieval. - Ivan Kitanovski; Katarina Trojacanec; Ivica Dimitrovski; Suzana Loskovska (OAIR, 2013)

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. - Ivica Dimitrovski; Gjorgji Madjarov; Dragi Kocev; Petre Lameski (CLEF (Working Notes), 2014)

Medical Image Retrieval Using Multimodal Data. - Ivan Kitanovski; Ivica Dimitrovski; Gjorgji Madjarov; Suzana Loskovska (Discovery Science, 2014)

New Representation of Information Extracted from MRI Volumes Applied to Alzheimer's Disease. - Katarina Trojacanec; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (ICT Innovations, 2014)

Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification. - Gjorgji Madjarov; Ivica Dimitrovski; Dejan Gjorgjevikj; Saso Dzeroski (NFMCP, 2014)

Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Pattern Recognit. Lett., 2014)

Content Based Retrieval of MRI Based on Brain Structure Changes in Alzheimer's Disease. - Katarina Trojacanec; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (BIOIMAGING, 2015)

Medical Image Retrieval for Alzheimer's Disease Using Structural MRI Measures. - Katarina Trojacanec; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (BIOSTEC (Selected Papers), 2015)

Twitter Sentiment Analysis Using Deep Convolutional Neural Network. - Dario Stojanovski; Gjorgji Strezoski; Gjorgji Madjarov; Ivica Dimitrovski (HAIS, 2015)

Content Based Image Retrieval for Large Medical Image Corpus. - Gjorgji Strezoski; Dario Stojanovski; Ivica Dimitrovski; Gjorgji Madjarov (HAIS, 2015)

Medical Image Retrieval for Alzheimer's Disease Using Data from Multiple Time Points. - Katarina Trojacanec; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (ICT Innovations, 2015)

Web Genre Classification via Hierarchical Multi-label Classification. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (IDEAL, 2015)

Improved medical image modality classification using a combination of visual and textual features. - Ivica Dimitrovski; Dragi Kocev; Ivan Kitanovski; Suzana Loskovska; Saso Dzeroski (Comput. Medical Imaging Graph., 2015)

Improving Medical Cases Retrieval Using an Online Fact Database. - Ivan Kitanovski; Katarina Trojacanec; Ivica Dimitrovski; Suzana Loshkovska (ICT Innovations, 2016)

Hand Gesture Recognition Using Deep Convolutional Neural Networks. - Gjorgji Strezoski; Dario Stojanovski; Ivica Dimitrovski; Gjorgji Madjarov (ICT Innovations, 2016)

Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis. - Dario Stojanovski; Gjorgji Strezoski; Gjorgji Madjarov; Ivica Dimitrovski (SemEval@NAACL-HLT, 2016)

Improving bag-of-visual-words image retrieval with predictive clustering trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (Inf. Sci., 2016)

The use of data-derived label hierarchies in multi-label classification. - Gjorgji Madjarov; Dejan Gjorgjevikj; Ivica Dimitrovski; Saso Dzeroski (J. Intell. Inf. Syst., 2016)

Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning. - Ivica Obadic; Gjorgji Madjarov; Ivica Dimitrovski; Dejan Gjorgjevikj (ICT Innovations, 2017)

Image Retrieval for Alzheimer's Disease Based on Brain Atrophy Pattern. - Katarina Trojacanec; Slobodan Kalajdziski; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (ICT Innovations, 2017)

Image Representation, Annotation and Retrieval with Predictive Clustering Trees. - Ivica Dimitrovski; Dragi Kocev; Suzana Loskovska; Saso Dzeroski (ECML/PKDD (3), 2017)

Erratum to: The use of data-derived label hierarchies in multi-label classification. - Gjorgji Madjarov; Dejan Gjorgjevikj; Ivica Dimitrovski; Saso Dzeroski (J. Intell. Inf. Syst., 2017)

Multimodal medical image retrieval system. - Ivan Kitanovski; Gjorgji Strezoski; Ivica Dimitrovski; Gjorgji Madjarov; Suzana Loskovska (Multim. Tools Appl., 2017)

Longitudinal Brain MRI Retrieval for Alzheimer's Disease Using Different Temporal Information. - Katarina Trojachanec; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (IEEE Access, 2018)

Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages. - Dario Stojanovski; Gjorgji Strezoski; Gjorgji Madjarov; Ivica Dimitrovski; Ivan Chorbev (Multim. Tools Appl., 2018)

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. - Bozhidar Stevanoski; Dragi Kocev; Aljaz Osojnik; Ivica Dimitrovski; Saso Dzeroski (DS, 2019)

Web genre classification with methods for structured output prediction. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (Inf. Sci., 2019)

Keeping Children Safe Online With Limited Resources: Analyzing What is Seen and Heard. - Aleksandar Jevremovic; Mladen D. Veinovic; Milan Cabarkapa; Marko Krstic; Ivan Chorbev; Ivica Dimitrovski; Nuno M. Garcia; Nuno Pombo; Milos Stojmenovic (IEEE Access, 2021)

Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer's Disease. - Katarina Trojachanec Dineva; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska (ICT Innovations, 2022)

Crop Type Prediction Across Countries and Years: Slovenia, Denmark and the Netherlands. - Elena Merdjanovska; Ivan Kitanovski; Ziga Kokalj; Ivica Dimitrovski; Dragi Kocev (IGARSS, 2022)

AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Ivica Dimitrovski; Ivan Kitanovski; Pance Panov; Nikola Simidjievski; Dragi Kocev (CoRR, 2022)

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification. - Ivica Dimitrovski; Ivan Kitanovski; Dragi Kocev; Nikola Simidjievski (CoRR, 2022)

Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. - Dragi Kocev; Nikola Simidjievski; Ana Kostovska; Ivica Dimitrovski; Ziga Kokalj (CoRR, 2022)

A Multi-Modality Approach to Medical Case Retrieval for Alzheimer's Disease. - Katarina Trojachanec Dineva; Ivan Kitanovski; Ivica Dimitrovski; Suzana Loshkovska; Alzheimer's Disease Neuroimaging Initiative (HEALTHINF, 2023)

Semantic Segmentation of Remote Sensing Images: Definition, Methods, Datasets and Applications. - Vlatko Spasev; Ivica Dimitrovski; Ivan Kitanovski; Ivan Chorbev (ICT Innovations, 2023)

In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. - Ivica Dimitrovski; Ivan Kitanovski; Nikola Simidjievski; Dragi Kocev (CoRR, 2023)

AiTLAS: Artificial Intelligence Toolbox for Earth Observation. - Ivica Dimitrovski; Ivan Kitanovski; Pance Panov; Ana Kostovska; Nikola Simidjievski; Dragi Kocev (Remote. Sens., 2023)

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data. - Ivica Dimitrovski; Vlatko Spasev; Ivan Kitanovski (ICT Innovations, 2024)

Transfer Learning with Yolo for Object Detection in Remote Sensing. - Ema Pandilova; Marko Petrov; Vlatko Spasev; Ivica Dimitrovski; Ivan Kitanovski (ICT Innovations, 2024)

Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images Using SegFormer. - Vlatko Spasev; Ivica Dimitrovski; Ivan Chorbev; Ivan Kitanovski (ISPR (3), 2024)

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification. - Ivica Dimitrovski; Ivan Kitanovski; Nikola Simidjievski; Dragi Kocev (IEEE Geosci. Remote. Sens. Lett., 2024)

U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery. - Ivica Dimitrovski; Vlatko Spasev; Suzana Loshkovska; Ivan Kitanovski (Remote. Sens., 2024)